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Kenneth Singleton

Kenneth J. Singleton
Born 1951
Nationality American
Institution Stanford University
Alma mater University of Wisconsin–Madison
Doctoral
advisor
Edgar L. Feige

Kenneth Jan Singleton (born 1951) is an American economist. He is a leading figure in empirical financial economics, and a faculty member at Stanford University.

His recent research in econometric methods for estimation and testing of dynamic asset pricing models has been highly influential in academic circles. He is the author of Credit Risk with Darrell Duffie and a new book titled Empirical Dynamic Asset Pricing: Model Specification and Econometric Assessment. He has coauthored significant academic papers with Lars Peter Hansen, Darrell Duffie, Jun Pan and Qiang Dai. Ken's research interests are in econometric methods for estimation and testing of dynamic asset pricing models; modeling of term structures of government and defaultable bond yields; measuring and managing market, credit and liquidity risks; and debt financing in emerging economies. He is Adams Distinguished Professor of Management I, Codirector of the Credit Risk Executive Program with Darrell Duffie, and a Member of the Consortium on Financial Systems and Poverty. Among various consulting and advisory relationships with industry, he is senior scientist for Financial Crossing, a Palo Alto start-up developing liability management and mortgage advice software.

His professional awards include the Smith Breeden Distinguished Paper Prize from the Journal of Finance, the Frisch Medal from the Econometric Society and the Irving Fisher Dissertation Award. He was named fellow of the Econometric Society in 1988 and of the Journal of Econometrics in 1998, and has been a research associate at the National Bureau of Economic Research since 1982. In 1991–92, he was a vice president in the Fixed Income Research Department of Goldman Sachs. Ken was the president of the Society for Financial Studies from 2011–12 and starting in 2012, is currently the editor-in-chief of the Journal of Finance.


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